• このプロジェクトについて
• JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning
• Leveraging LLMs for Unsupervised Dense Retriever Ranking
• Selecting which Dense Retriever to use for Zero-Shot Search
• A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models
• Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels
• Fusion in information retrieval
• SIGIR 2024
• Zerox
• ICTIR 2024
• CrateのPublish
• Python Recommentation
• Embedding Models
• コミュニケーション時に気をつけること
• NTCIREVAL
• Webパフォーマンスチューニング
• Prompt Engineering Guide
• Self-Consistency Improves Chain of Thought Reasoning in Language Models ICLR23
• Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? (EMNLP 22)
• 大規模言語モデルを用いたマイソクPDFからの情報抽出